Estimation of above-ground biomass of a tropical forest in Northern Borneo using high-resolution satellite image

Estimating above-ground biomass is important in establishing an applicable methodology of Measurement, Reporting and Verification (MRV) System for Reducing Emissions from Deforestation and Forest Degradation-Plus (REDD+). We developed an estimation model of diameter at breast height (DBH) from IKO...

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Main Authors: Phua, Mui How, Ling, Zia-Yiing, Wong, Wilson Vun Chiong, Alexius Korom, Berhaman Ahmad, Normah Awang Besar, Satoshi Tsuyuki, Keiko Ioki, Keigo Hoshimoto, Yasumasa Hirata, Hideki Saito, Gen Takao
Format: Article
Language:English
English
Published: Kangwon National University, Chunchon, Korea 2014
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/19606/1/Estimation%20of%20aboveground%20biomass.pdf
https://eprints.ums.edu.my/id/eprint/19606/7/Estimation%20of%20above-ground%20biomass%20of%20a%20tropical%20forest%20in%20Northern%20Borneo%20using%20high-resolution%20satellite%20image.pdf
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author Phua, Mui How
Ling, Zia-Yiing
Wong, Wilson Vun Chiong
Alexius Korom
Berhaman Ahmad
Normah Awang Besar
Satoshi Tsuyuki
Keiko Ioki
Keigo Hoshimoto
Yasumasa Hirata
Hideki Saito
Gen Takao
author_facet Phua, Mui How
Ling, Zia-Yiing
Wong, Wilson Vun Chiong
Alexius Korom
Berhaman Ahmad
Normah Awang Besar
Satoshi Tsuyuki
Keiko Ioki
Keigo Hoshimoto
Yasumasa Hirata
Hideki Saito
Gen Takao
author_sort Phua, Mui How
collection UMS
description Estimating above-ground biomass is important in establishing an applicable methodology of Measurement, Reporting and Verification (MRV) System for Reducing Emissions from Deforestation and Forest Degradation-Plus (REDD+). We developed an estimation model of diameter at breast height (DBH) from IKONOS-2 image that led to above-ground biomass estimation (AGB). The IKONOS image was preprocessed with dark object subtraction and topographic effect correction prior to watershed segmentation for tree crown delineation. Compared to the field observation, the overall segmentation accuracy was 64%. Crown detection percent had a strong negative correlation to tree density. In addition, satellite-based crown area had the highest correlation with the field measured DBH. We then developed the DBH allometric model that explained 74% of the data variance. In average, the estimated DBH was very similar to the measured DBH as well as for AGB. Overall, this method can potentially be applied to estimate AGB over a relatively large and remote tropical forest in Northern Borneo.
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spelling ums.eprints-196062021-01-11T08:48:29Z https://eprints.ums.edu.my/id/eprint/19606/ Estimation of above-ground biomass of a tropical forest in Northern Borneo using high-resolution satellite image Phua, Mui How Ling, Zia-Yiing Wong, Wilson Vun Chiong Alexius Korom Berhaman Ahmad Normah Awang Besar Satoshi Tsuyuki Keiko Ioki Keigo Hoshimoto Yasumasa Hirata Hideki Saito Gen Takao SD Forestry Estimating above-ground biomass is important in establishing an applicable methodology of Measurement, Reporting and Verification (MRV) System for Reducing Emissions from Deforestation and Forest Degradation-Plus (REDD+). We developed an estimation model of diameter at breast height (DBH) from IKONOS-2 image that led to above-ground biomass estimation (AGB). The IKONOS image was preprocessed with dark object subtraction and topographic effect correction prior to watershed segmentation for tree crown delineation. Compared to the field observation, the overall segmentation accuracy was 64%. Crown detection percent had a strong negative correlation to tree density. In addition, satellite-based crown area had the highest correlation with the field measured DBH. We then developed the DBH allometric model that explained 74% of the data variance. In average, the estimated DBH was very similar to the measured DBH as well as for AGB. Overall, this method can potentially be applied to estimate AGB over a relatively large and remote tropical forest in Northern Borneo. Kangwon National University, Chunchon, Korea 2014-05 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/19606/1/Estimation%20of%20aboveground%20biomass.pdf text en https://eprints.ums.edu.my/id/eprint/19606/7/Estimation%20of%20above-ground%20biomass%20of%20a%20tropical%20forest%20in%20Northern%20Borneo%20using%20high-resolution%20satellite%20image.pdf Phua, Mui How and Ling, Zia-Yiing and Wong, Wilson Vun Chiong and Alexius Korom and Berhaman Ahmad and Normah Awang Besar and Satoshi Tsuyuki and Keiko Ioki and Keigo Hoshimoto and Yasumasa Hirata and Hideki Saito and Gen Takao (2014) Estimation of above-ground biomass of a tropical forest in Northern Borneo using high-resolution satellite image. Journal of Forest and Environmental Science, 30 (2). pp. 233-242. ISSN 2288-9752 https://www.researchgate.net/publication/266376343_Estimation_of_Above-Ground_Biomass_of_a_Tropical_Forest_in_Northern_Borneo_Using_High-resolution_Satellite_Image
spellingShingle SD Forestry
Phua, Mui How
Ling, Zia-Yiing
Wong, Wilson Vun Chiong
Alexius Korom
Berhaman Ahmad
Normah Awang Besar
Satoshi Tsuyuki
Keiko Ioki
Keigo Hoshimoto
Yasumasa Hirata
Hideki Saito
Gen Takao
Estimation of above-ground biomass of a tropical forest in Northern Borneo using high-resolution satellite image
title Estimation of above-ground biomass of a tropical forest in Northern Borneo using high-resolution satellite image
title_full Estimation of above-ground biomass of a tropical forest in Northern Borneo using high-resolution satellite image
title_fullStr Estimation of above-ground biomass of a tropical forest in Northern Borneo using high-resolution satellite image
title_full_unstemmed Estimation of above-ground biomass of a tropical forest in Northern Borneo using high-resolution satellite image
title_short Estimation of above-ground biomass of a tropical forest in Northern Borneo using high-resolution satellite image
title_sort estimation of above ground biomass of a tropical forest in northern borneo using high resolution satellite image
topic SD Forestry
url https://eprints.ums.edu.my/id/eprint/19606/1/Estimation%20of%20aboveground%20biomass.pdf
https://eprints.ums.edu.my/id/eprint/19606/7/Estimation%20of%20above-ground%20biomass%20of%20a%20tropical%20forest%20in%20Northern%20Borneo%20using%20high-resolution%20satellite%20image.pdf
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